Merge pull request #273597 from fbsolo-ms1/update-data-science-virtual-machine-files

Freshness update for provision-vm.md . . .

Author: JamesJBarnett

articles/machine-learning/data-science-virtual-machine/overview.md

@@ -105,4 +105,4 @@ For more information, visit these resources:
 
 + Linux:
   + [Set up a Linux DSVM (Ubuntu)](dsvm-ubuntu-intro.md)
-  + [Data science on a Linux DSVM](linux-dsvm-walkthrough.md)
+  + [Data science on a Linux DSVM](linux-dsvm-walkthrough.md)

articles/machine-learning/data-science-virtual-machine/provision-vm.md

@@ -7,7 +7,8 @@ ms.service: data-science-vm
 author: s-polly
 ms.author: scottpolly
 ms.topic: quickstart
-ms.date: 12/31/2019
+ms.reviewer: franksolomon
+ms.date: 04/27/2024
 ms.custom: mode-other
 #Customer intent: As a data scientist, I want to learn how to provision the Windows DSVM so that I can move my existing workflow to the cloud.
 ---
@@ -18,50 +19,47 @@ Get up and running with a Windows Server 2022 Data Science Virtual Machine.
 
 ## Prerequisite
 
-To create a Windows Data Science Virtual Machine, you must have an Azure subscription. [Try Azure for free](https://azure.com/free).
-Please note Azure free accounts do not support GPU enabled virtual machine SKUs.
+To create a Windows Data Science Virtual Machine, you need an Azure subscription. [Try Azure for free](https://azure.com/free).
+Please note that Azure free accounts do not support GPU enabled virtual machine SKUs.
 
 ## Create your DSVM
 
 To create a DSVM instance:
 
-1. Go to the [Azure portal](https://portal.azure.com) You might be prompted to sign in to your Azure account if you're not already signed in.
-1. Find the virtual machine listing by typing in "data science virtual machine" and selecting "Data Science Virtual Machine - Windows 2022."
+1. Go to the [Azure portal](https://portal.azure.com). You might be prompted to sign in to your Azure account, if you're not already signed in.
+1. Find the virtual machine listing by typing in "**data science virtual machine**", and then selecting "Data Science Virtual Machine - Windows 2022."
 
 1. Select the **Create** button at the bottom.
 
 1. You should be redirected to the "Create a virtual machine" blade.
 
 1. Fill in the **Basics** tab:
-      * **Subscription**: If you have more than one subscription, select the one on which the machine will be created and billed. You must have resource creation privileges for this subscription.
-      * **Resource group**: Create a new group or use an existing one.
-      * **Virtual machine name**: Enter the name of the virtual machine. This is how it will appear in your Azure portal.
-      * **Location**: Select the datacenter that's most appropriate. For fastest network access, it's the datacenter that has most of your data or is closest to your physical location. Learn more about [Azure Regions](https://azure.microsoft.com/global-infrastructure/regions/).
-      * **Image**: Leave the default value.
-      * **Size**: This should auto-populate with a size that is appropriate for general workloads. Read more about [Windows VM sizes in Azure](../../virtual-machines/sizes.md).
-      * **Username**: Enter the administrator username. This is the username you will use to log into your virtual machine, and need not be the same as your Azure username.
-      * **Password**: Enter the password you will use to log into your virtual machine.    
-1. Select **Review + create**.
+      * **Subscription**: If you have more than one subscription, select the one on which the machine will be created and billed. You must have resource creation privileges for this subscription
+      * **Resource group**: Create a new group or use an existing one
+      * **Virtual machine name**: Enter the name of the virtual machine. This is how it will appear in your Azure portal
+      * **Location**: Select the datacenter that's most appropriate. For fastest network access, the datacenter that hosts most of your data or is located closest to your physical location becomes the best choice. For more information, visit [Azure Regions](https://azure.microsoft.com/global-infrastructure/regions/)
+      * **Image**: Leave the default value
+      * **Size**: This should auto-populate with an appropriate size for general workloads. For more information, visit [Windows VM sizes in Azure](../../virtual-machines/sizes.md)
+      * **Username**: Enter the administrator username. You will use this username to log into your virtual machine, and it doesn't need to match your Azure username
+      * **Password**: Enter the password you'll use to log into your virtual machine
+1. Select **Review + create**
 1. **Review+create**
-   * Verify that all the information you entered is correct. 
-   * Select **Create**.
-
+   * Verify that all the information you entered is correct
+   * Select **Create**
 
 > [!NOTE]
-> * You do not pay licensing fees for the software that comes pre-loaded on the virtual machine. You do pay the compute cost for the server size that you chose in the **Size** step.
-> * Provisioning takes 10 to 20 minutes. You can view the status of your VM on the Azure portal.
+> * You pay no licensing fees for the software that comes pre-loaded on the virtual machine. You do pay the compute cost for the server size that you chose in the **Size** step
+> * The provisioning process takes 10 to 20 minutes. You can view the status of your VM at the Azure portal
 
 ## Access the DSVM
 
-After the VM is created and provisioned, follow the steps listed to [connect to your Azure-based virtual machine](../../marketplace/azure-vm-create-using-approved-base.md). Use the admin account credentials that you configured in the **Basics** step of creating a virtual machine. 
-
-You're ready to start using the tools that are installed and configured on the VM. Many of the tools can be accessed through **Start** menu tiles and desktop icons.
-
-<a name="tools"></a>
+After you create and provision the VM, follow the steps described in [connect to your Azure-based virtual machine](../../marketplace/azure-vm-create-using-approved-base.md). Use the admin account credentials that you configured in the **Basics** step of creating a virtual machine.
 
+You can now use the tools that are installed and configured on the VM. You can access many of these tools through **Start** menu tiles and desktop icons.
 
 ## Next steps
 
-* Explore the tools on the DSVM by opening the **Start** menu.
-* Learn about the Azure Machine Learning by reading [What is Azure Machine Learning?](../overview-what-is-azure-machine-learning.md) and trying out [tutorials](../index.yml).
-* Read the article [Data Science with a Windows Data Science Virtual Machine in Azure](./vm-do-ten-things.md)
+* Open the **Start** menu to explore the tools on the DSVM
+* Reading [What is Azure Machine Learning?](../overview-what-is-azure-machine-learning.md) to learn more about Azure Machine Learning
+* Try out [these tutorial resources](../index.yml)
+* Read article [Data Science with a Windows Data Science Virtual Machine in Azure](./vm-do-ten-things.md)